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    CVE-2025-54381

    BentoML is a Python library for building online serving systems optimized for AI apps and model inference. In versions 1.4.0 until 1.4.19, the file upload processing system contains an SSRF vulnerability that allows unauthenticated remote attackers to force the server to make arbitrary HTTP requests. The vulnerability stems from the multipart form data and JSON request handlers, which automatically download files from user-provided URLs without validating whether those URLs point to internal network addresses, cloud metadata endpoints, or other restricted resources. The documentation explicitly promotes this URL-based file upload feature, making it an intended design that exposes all deployed services to SSRF attacks by default. Version 1.4.19 contains a patch for the issue.

    Published:Jul 29, 2025
    Last Modified:Aug 5, 2025
    EPS:Jul 29, 2025
    EPSS Score:0.00122
    CVSS Score:9.9

    Affected Products

    Vendor
    Bentoml
    Product
    Bentoml

    Exploits

    https://github.com/bentoml/BentoML/security/advisories/GHSA-mrmq-3q62-6cc8https://github.com/bentoml/BentoML/security/advisories/GHSA-mrmq-3q62-6cc8https://github.com/Ashwesker/Blackash-CVE-2025-54381https://github.com/B1ack4sh/Blackash-CVE-2025-54381https://github.com/IS8123/CVE-2025-54381https://github.com/rockmelodies/bentoml_CVE-2025-54381

    Common Attack Pattern Enumeration and Classification (CAPEC)

    CAPEC-664 Server Side Request Forgery

    Related CVEs

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    CVE-2026-35043 (CVSS 7.8) — BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Pri…
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    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High